Top Artificial Intelligence Jobs in Paris

The Compute Legal Counsel will draft, negotiate contracts, advise on compliance, and support the Compute business with legal expertise.

Manage and grow the Training & Serving team, support building and scaling, define technical vision, and ensure a strong team culture while engaging in hands-on coding and reviews.

As an AI Research Engineer, you will work with research scientists to build infrastructure, implement models, and enhance AI capabilities in systems for production code repair and observability.

Lead the Docugami Europe AI research lab, manage a team of researchers, propose solutions to scientific problems, and collaborate with academic institutions.

The Account Executive identifies new business opportunities and deepens customer relationships, aligning SUSE's value proposition with client goals, focusing on revenue growth and customer satisfaction.

The Legal Counsel will draft and negotiate contracts related to AI technologies, provide strategic legal advice, ensure compliance, and collaborate with teams on legal matters.

Join our AI Operations team as a Software Engineer, developing AI-powered features and tools, optimizing services, and shaping internal standards.

Manage implementation projects from planning to execution, ensuring client satisfaction and continuous improvement of processes and products.

Lead the development and deployment of AI solutions in industrial settings, bridging technology exploration and practical applications. Responsible for guiding AI decisions, collaborating with teams, and driving customer-focused solutions.

The Talent Acquisition Operations Partner will optimize recruitment using AI, automate processes, and enhance candidate experiences while driving data-driven insights across hiring models.

Design, build, and productionize LLM-based, retrieval, and multimodal AI systems. Develop RAG and agentic pipelines, deploy and monitor models in cloud-native environments, evaluate performance, and collaborate with engineering and product teams to scale robust AI solutions.

Join the AI Health Companion stream to develop AI-powered features for the Doctolib app, focusing on patient health management and safety.

Join Dailymotion's AI Integration team as a Senior Backend Engineer, developing AI-driven backend services and APIs, working with a primarily Python stack and collaborating across teams to enhance content creators' experience.

The Robotics ML Expert designs and implements MuJoCo simulations, develops RL algorithms, and collaborates on robotics research and AI training.

The AI Deployment Strategist will drive the adoption of Mistral's AI solutions in cybersecurity, collaborating with executives, designing AI roadmaps, and ensuring successful deployment and customer success in securing digital assets.

Own outbound and inbound pipeline for AI cloud users, manage outreach automations, re-engage sign-ups, coordinate discovery and partner calls, maintain CRM hygiene, attend events, and design GTM experiments with founders and CRO.

Partner with account teams to drive adoption of Databricks AI/BI product-line through technical leadership, demos, workshops, architecture guidance (lakehouse, Spark, cloud), escalations, and product feedback to R&D and GTM.

Design and improve end-to-end ML/AI pipelines, process datasets, and contribute production code for high-quality solutions in machine learning projects.

The Senior Data Engineer will build and maintain data pipelines on GCP for AI models, ensuring data quality and collaborating with teams on data governance.

As a Senior Machine Learning Engineer, you will develop and scale customer-facing AI models, ensuring quality integration with business solutions, and mentoring peers.

As an AI/ML Engineer, develop and optimize models for mobile apps, collaborate with teams, and implement AI techniques to enhance user experience.

As an AI Product Manager, you will lead AI product development, collaborate with teams, conduct market research, and ensure alignment with user needs.

The role requires training large language models to improve code quality, involving code review, ranking, and feedback integration for reinforcement learning.

The role involves training large language models to improve code quality by reviewing and refactoring AI-generated code, providing feedback to enhance the learning process.

The engineer will train large language models to write code, review and refactor AI-generated code, and inject feedback into a reinforcement learning pipeline.